Mathematics 353 - ADV TOPCS: STOCHASTIC PROCESS

Topics course. Normally offered in alternate years.: A stochastic process describes how random variables change over time. This course provides an introduction to the theory of stochastic processes, as well as applications and simulation techniques. Examples of applications include Brownian motions, chemical reactions, fluctuations in financial market, and reliability theory. Specific topics include conditional probability, Markov chains, Poisson processes, queueing theory, and Brownian motion. Prerequisites: MTH 153, MTH 211, MTH 212, and MTH 246 or permission of the instructor. Prior experience in computing (using R, Matlab, Python, Java, etc.) will be helpful.